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Rennes School of Business

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Brittany

France

The MSc in Financial Data Intelligence offered by Rennes School of Business is a premier program tailored for individuals who aspire to excel in the rapidly evolving intersection of finance and data science. This 15-month master's program delves deep into the realms of data analytics, financial modeling, and investment strategies, equipping students with the necessary skills to interpret complex financial datasets and make informed decisions. The curriculum is meticulously designed to blend theoretical knowledge with practical application, ensuring that graduates are not only proficient in data analysis but also understand its implications in the financial sector. As a result, the program fosters a comprehensive learning environment that enhances analytical thinking and equips students with robust financial acumen.

The program’s curriculum encompasses a wide variety of specialized courses such as Advanced Financial Analytics, Data Mining Techniques, and Financial Risk Management. These courses are complemented by practical workshops and case studies that simulate real-world challenges faced by financial institutions. Students will engage in hands-on projects that require the application of analytical tools and techniques to real datasets, allowing them to develop a portfolio that showcases their skills to prospective employers. Furthermore, students will be exposed to innovative technologies such as machine learning and artificial intelligence, which are increasingly becoming indispensable in financial analysis.

At Rennes School of Business, students benefit from a faculty composed of leading experts in finance, data science, and analytics. Professors bring a wealth of experience from both academia and industry, providing students with insights that are relevant and applicable in the professional world. Their teaching methodology emphasizes interactive learning, where students are encouraged to participate actively in discussions and collaborate on projects. This hands-on approach not only fosters a deep understanding of the subject matter but also cultivates essential soft skills such as teamwork, communication, and problem-solving.

In addition to a robust curriculum and expert faculty, the program offers extensive research opportunities. Students have access to state-of-the-art facilities and resources, including specialized labs equipped with the latest data analysis software. They can engage in research projects that explore cutting-edge topics in financial data analytics. Collaborating with faculty on research initiatives not only enhances students’ academic experience but also opens doors to publication opportunities in prestigious journals, further enhancing their resumes.

The MSc in Financial Data Intelligence program also boasts solid connections with industry leaders and organizations. Rennes School of Business maintains partnerships with various financial institutions and tech companies, providing students with valuable networking opportunities. Internships are an integral part of the program, enabling students to apply their classroom learning in real-world settings. These experiences not only enrich students’ understanding but also significantly enhance their employability upon graduation, as they develop both technical and professional skills sought by employers.

Graduates of the program are well-positioned for a range of lucrative and fulfilling career pathways in sectors such as investment banking, financial consulting, data analysis, and risk management. The demand for professionals who can bridge the gap between data science and finance continues to grow, making this program an excellent choice for those looking to capitalize on these trends. Alumni of the program have successfully secured positions at prestigious firms, with many reporting rapid career advancement and high salary potential.

As part of the Rennes School of Business community, students are part of a vibrant and diverse international student body, which further enriches their educational experience. The university prides itself on fostering an inclusive environment that promotes cultural exchange and collaboration. Students will find themselves immersed in a variety of perspectives, enhancing their ability to work in global teams—an invaluable asset in today’s interconnected world.

Why Study MSc in Financial Data Intelligence at Rennes School of Business?

  • The program combines theoretical knowledge with practical application, ensuring that graduates are industry-ready.
  • Students gain access to a highly experienced faculty who are experts in both their academic and professional fields.
  • The school offers state-of-the-art facilities and labs that foster a hands-on approach to learning.
  • Extensive internship opportunities and strong industry connections enhance employability and career prospects.
  • Graduates benefit from a high employability rate and strong starting salaries in various sectors.
  • The diverse international student body enriches the learning environment through cultural exchange and collaboration.

To be eligible for the MSc in Financial Data Intelligence, candidates must have a recognized undergraduate degree in a relevant field. Additionally, proficiency in English is required, with accepted standardized test scores such as IELTS (minimum of 6.0) or TOEFL (minimum of 80). The application deadline for prospective students is November 30th, 2023.

In summary, the MSc in Financial Data Intelligence at Rennes School of Business is an exceptional program designed for aspiring finance professionals who want to leverage the power of data in decision-making. With its comprehensive curriculum, expert faculty, and strong industry ties, this program stands out as a leading choice for students looking to transform their careers in the dynamic world of finance and data analytics.

intake

Duration

15 Months

Class Profile

Diversity

Africa:

1%

Europe:

15%

Others:

1%

Asia:

5%

North America:

2%

South America:

1%

France:

80%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6

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  • TOEFL

    80

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

      Application Deadlines

      Standard Deadline
      WinterNov 30, 2023

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